Fagiano, Lorenzo and Milanese, Mario and Piga, Dario Optimization of airborne wind energy generators. International Journal of Robust and Nonlinear Control , 22 (18). pp. 2055-2083. ISSN 1049-8923 (2012)
Full text not available from this repository.Abstract
This paper presents novel results related to an innovative airborne wind energy technology, named Kitenergy, for the conversion of high-altitude wind energy into electricity. The research activities carried out in the last five years, including theoretical analyses, numerical simulations, and experimental tests, indicate that Kitenergy could bring forth a revolution in wind energy generation, providing renewable energy in large quantities at a lower cost than fossil energy. This work investigates three important theoretical aspects: the evaluation of the performance achieved by the employed control law, the optimization of the generator operating cycle, and the possibility to generate continuously a constant and maximal power output. These issues are tackled through the combined use of modeling, control, and optimization methods that result to be key technologies for a significant breakthrough in renewable energy generation.
| Item Type: | Article |
|---|---|
| Identification Number: | https://doi.org/10.1002/rnc.1808 |
| Uncontrolled Keywords: | wind energy, high-altitude wind energy, nonlinear model predictive control, optimization |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 13 Jan 2015 13:52 |
| Last Modified: | 13 Jan 2015 14:35 |
| URI: | http://eprints.imtlucca.it/id/eprint/2469 |
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